发表机构
University of New South Wales; Wageningen University & Research; DEVCOM Army Research Lab; University of Queensland（新南威尔士大学; 瓦赫宁根大学及研究中心; DEVCOM陆军研究实验室; 昆士兰大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用立体事件相机，通过将异步事件转换为常规视频格式并结合立体配置，实现了野外昆虫的高速三维跟踪，有效减少了运动模糊，提高了跟踪精度。
AI 中文摘要
在自然环境中高速跟踪小型、快速移动的生物，对于更好地理解其行为和生态至关重要。传统的基于帧的成像技术由于时间分辨率低而产生运动模糊，并受限于数据存储容量，这促使人们寻求更具适应性的解决方案。事件相机不捕获整帧图像，而是在像素级别捕捉亮度变化，通过提高时间分辨率和数据效率，已成为一种有前景的解决方案。在此，我们展示了将事件相机成像与标准视频处理方法相结合的应用，通过将异步事件转换为常规视频格式，使我们能够利用事件相机增强的时间细节来捕捉复杂的昆虫飞行运动，并应用成熟的图像分析技术。将此转换过程与立体配置相结合，可在野外条件下对快速移动的目标进行连续、低延迟的三维跟踪。因此，我们大幅减少了运动伪影，并实现了对动物运动更准确的表征。通过使事件相机成像更易于应用于自然野外环境，我们的方法支持在动物行为与生态研究、农业管理以及其他需要在野外进行高保真目标跟踪的领域中更广泛的应用。
英文摘要
High-speed tracking of small, fast-moving organisms in their natural environments is important to better understand their behavior and ecology. Traditional frame-based imaging suffers from motion blur due to low temporal resolution, and data storage limitations, propelling a search for more adaptive solutions. Event cameras, which capture changes in brightness at pixel level instead of entire frames, have emerged as a promising solution by increasing temporal resolution and data efficiency. Here, we demonstrate the use of event-based imaging with standard video-based processing methods by converting the asynchronous events into conventional video formats, allowing us to leverage the event camera's enhanced temporal detail to capture intricate insect flight movements and apply established image analysis techniques. Coupling this conversion process with a stereoscopic configuration provides continuous, low-latency, three-dimensional tracking of fast-moving subjects in field conditions. As a result, we substantially mitigate motion artifacts and achieve more accurate representations of animal movements. By making event-based imaging more readily applicable in natural field settings, our method support broader applications across animal behavior and ecological research, agricultural management, and other fields requiring high-fidelity object tracking in the wild.
